NDLI: Decentralized optimal control of inter-area oscillations in bulk power systems

Content Provider	IEEE Xplore Digital Library
Author	Wu, Xiaofan Dorfler, Florian Jovanovic, Mihailo R.
Copyright Year	2015
Description	Author affiliation: Automatic Control Laboratory at ETH Zürich, Switzerland (Dorfler, Florian) \|\| Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, 55455, United States of America (Wu, Xiaofan; Jovanovic, Mihailo R.)
Abstract	In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and inter-area oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.
Starting Page	5532
Ending Page	5537
File Size	856417
Page Count	6
File Format	PDF
e-ISBN	9781479978861
DOI	10.1109/CDC.2015.7403086
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Oscillators Generators Power system stability Optimal control Rotors Power system dynamics Covariance matrices wide-area control Decentralized control input-output analysis inter-area oscillations power systems sparsity-promoting optimal control synchronization
Content Type	Text
Resource Type	Article

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